README.md

metadata

annotations_creators: []
language: en
size_categories:
  - 10K<n<100K
task_categories:
  - image-classification
task_ids: []
pretty_name: mnist-curated
tags:
  - fiftyone
  - image
  - image-classification
dataset_summary: >




  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 70000
  samples.


  ## Installation


  If you haven't already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  from fiftyone.utils.huggingface import load_from_hub


  # Load the dataset

  # Note: other available arguments include 'max_samples', etc

  dataset = load_from_hub("maxspeer/curated-mnist5")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

Dataset Card for mnist-curated

This is a FiftyOne dataset with 70000 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("maxspeer/curated-mnist5")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

This dataset was curated as part of the "Applied Hands-On Computer Visio Course" taught by Antonio Rueda-Toicen.

View on Colab.